Higher education faculty members incorporate technologies into their teaching and learning practices in higher education for the benefit of their learners. Hence, general technologies, such as presentation software, online classrooms, and learning management systems are ubiquitous in higher education teaching practices. However, emerging…

When participants engage twice in the same creative problem-solving task with educational robots, they have the possibility to repeat the same solution, allowing them to complete the task faster, or to show a creative intention and behavior, engaging them in developing a new solution. In this study, we aim to analyze the creative process…

Competition in digital game-based learning (DGBL) is tantamount to a double-edged sword, because it not only improves students' learning performance, but may also cause them psychological stress. Therefore, researchers focus on collaboration, for it can mitigate the negative effect of competition. However, studies on the correlations among…

This study is to develop and validate a scale that measures the acceptance intention of secondary school teachers toward gamified English-as-a-foreign-language (EFL) tools. Drawing upon the technology acceptance models (TAM) and related frameworks, we synthesized a framework that includes six main factors contributing to teachers' acceptance…

Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…

Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of…

The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…

The aim of our investigation is to identify teacher motivation profiles towards information technology, according to achievement goal and expectancy-value theories. Latent profile analysis (LPA) was applied to examine if homogenous latent profiles exist within a sample of 866 teachers in China. Four distinct profiles of teachers were identified:…

This paper presents our efforts to develop a scale for measuring students' learning experiences with knowledge-based chatbots in massive open online courses (MOOCs) through three studies. In Study 1, we conducted a qualitative synthesis of the current literature and analyzed students' open-ended responses regarding their experiences with a…

As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…

The e-learning platform provides a new teaching-learning channel in which instructors provide information to learners irrespective of method used to access the platform. The purpose of this study is to examine instructors' acceptance of e-learning in Nigerian universities. The study adopted a quantitative approach, with a total of 299…

Participants in massive open online courses show a wide variety of motivations. This has been studied with the elaboration of classifications of the users according to their behavior throughout the course. In this study, we aimed to classify the participants in the MOOCs according to the initial motivations and intentions, before long interaction…

Prior to this study, a testable model for the influence of contextual knowledge (XK) on teacher candidates' intention to integrate technology into classroom instruction had not been established. We applied the Decomposed Theory of Planned Behavior (DTPB) to aid us in this effort. Our work (a) provided a theoretical conceptualization for factors of…

This study extends the social influence factor in the Unified Theory of Acceptance and Use of Technology (UTAUT) model by delineating it into coercive, normative, and mimetic pressures based on institutional theory. It investigates the role of each institutional pressure in influencing the behavioural intention of accounting lecturers in…

Teachers in K-12 settings increasingly demand instructional materials beyond textbooks to follow the upward momentum of personalized instruction. Especially during the outbreak of COVID-19, K-12 teachers are forced to quickly adapt to online teaching and thus have more difficulties of delivering personalized instruction in a relatively…